Tools To Help You Evaluate And Choose The Latest Data Management Technologies
Blog: The Tibco Blog
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It seems like every day new technologies are entering the field of data management. These innovations offer many exciting benefits but can often be difficult to understand or even just keep track of. How do you best gauge and then select emerging data management technologies for your company?
The Gartner® Hype Cycle for Data Management 20211 offers a comprehensive overview of promising data management technologies, covering when to adopt, what to prioritize, and how to evaluate. The report also provides a common methodology for tracking emerging data management innovations, ranging from what’s applicable now to what could take 10 years to reach maturity.
What’s Driving Data Management Technology Adoption?
Every effort around improving customer experience, optimizing operations, or transforming an organization relies on harnessing data. By providing a common methodology for tracking data management innovations, the Gartner® Hype Cycle for Data Management helps leaders make informed decisions and plans around them, including:
- A holistic view of critical technologies and their capabilities
- Evaluations of a technology’s maturity
- Recommendations on when to adopt
- And more
Data Management Use Cases And Recommendations
The Gartner® report also provides recommendations and high-level use case examples. Five TIBCO data management technologies are included:
- Data Virtualization
- Data Integration Tools
- iPaaS for Data Integration
- In-Memory Data Grids
- Event Stream Processing
It’s clear there’s a massive opportunity for organizations that recognize the importance of creating a holistic data management infrastructure. Successful customer intimacy, operational excellence, and business reinvention efforts require every kind of data—metadata, reference data, master data, transactional, and streaming data. Managing this diversity in a well-governed and consistent way is mission-critical, and the objective of TIBCO’s Agile Data Fabric framework of data management products.
Why You Should Embrace Data Virtualization Now
One clear takeaway from the Gartner® report is that data virtualization is mature, ready to implement, and critical for business agility. As Gartner® notes, data is more distributed than ever across “multicloud, intercloud and hybrid architectures.” The use of data virtualization will help to “address current data management issues in innovative and unprecedented ways.” Learn more about data virtualization from this real-world use case featuring candy maker Cloetta.
A data virtualization system provides all your company’s data on demand in a single, secure layer. This enables you to develop actionable insights and act on them in real time.
One clear takeaway from the Gartner® report is that data virtualization is mature, ready to implement, and critical for business agility.
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Learn more about why data management is so critical to your business by reading the full Gartner® Hype Cycle for Data Management 2021 report.
1 Gartner Hype Cycle for Data Management. Analysts: Philip Russom, Donald Feinberg Published 27 July 2021.
Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
The post Tools To Help You Evaluate And Choose The Latest Data Management Technologies first appeared on The TIBCO Blog.
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